daily_stock_analysis: From A-shares to Korean and Taiwanese stocks, an LLM investment report that arrives automatically every day at 6 PM
ZhuLinsen/daily_stock_analysis
About the project
A multi-market stock analysis system covering A-shares, H-shares, US stocks, Japanese stocks, Korean stocks, Taiwanese stocks, and ETFs. It uses LLMs to extract key conclusions, scores, trends, buy/sell points, risk warnings, and catalyst factors for each stock. It structures information into an actionable 'decision dashboard' rather than a simple data listing.
It automatically runs analysis at a set time every day via GitHub Actions without server costs. Generated reports are immediately pushed to various channels such as WeChat, Feishu, Telegram, Discord, Slack, and email. It supports free data sources (AkShare, Baostock, YFinance) by default and can integrate with paid sources like Tushare or Longbridge to improve data stability when needed.
The Web workbench enables manual analysis, viewing past reports, backtesting, and portfolio management. In particular, the 'Agent strategy question' feature allows multi-round interactive analysis based on 15 built-in strategies, including moving averages, candlesticks, and wave theory. It also provides a feature to smartly import stocks from images, CSVs, and the clipboard and auto-fill them.
Released under the MIT license, it is suitable for individual investors or quant developers to automate the repetitive daily tasks of market monitoring and report writing. It provides an environment to regularly receive AI-based daily investment insights without the need to build complex server infrastructure.
ZhuLinsen/daily_stock_analysis
LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
Python
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